Quarterback, Maryland (from Tulsa, Sacramento State), 2022–26
Cardell Williams
- Number
- No. 6
- Height
- 6′2″
- Weight
- 181 lb
- Class (2026)
- Senior
- Hometown
- Houston, TX
Cardell Williams plays quarterback for Maryland, after Tulsa (2022–24) and Sacramento State (2025). Last time out, against UCLA: 1 of 1, 0 yards.
2026 so far
63 passing yards, 1 TD
Last game: 1 of 1, 0 yards vs. UCLA, L 3–54
Next game: vs. Illinois, Oct 31
Filled bars: wins; outlined: losses.
Career highs
332passing yards, career highvs. Montana, 20253touchdown passes, career hightwice; last vs. Temple, 2023139rushing yards, career highat Weber State, 20253rushing touchdowns, career highat Weber State, 2025Passing
* The season in progress, so far.
| Season | Team | Cmp | Att | Pct | Yds | Y/A | TD | Int |
|---|---|---|---|---|---|---|---|---|
| 2023 | Tulsa | 79 | 132 | 59.8 | 1,149 | 8.7 | 10 | 7 |
| 2024 | Tulsa | 5 | 11 | 45.5 | 37 | 3.4 | 0 | 0 |
| 2025 | Sacramento State | 110 | 175 | 62.9 | 1,621 | 9.3 | 10 | 7 |
| 2026 | Maryland | 6 | 7 | 85.7 | 63 | 9.0 | 1 | 0 |
| Career | 200 | 325 | 61.5 | 2,870 | 8.8 | 21 | 14 | |
Rushing
| Season | Team | Car | Yds | Avg | TD | Long |
|---|---|---|---|---|---|---|
| 2023 | Tulsa | 57 | 200 | 3.5 | 5 | 50 |
| 2024 | Tulsa | 13 | 65 | 5.0 | 2 | 28 |
| 2025 | Sacramento State | 99 | 382 | 3.9 | 12 | 51 |
| 2026 | Maryland | 11 | 71 | 6.5 | 0 | 20 |
| Career | 180 | 718 | 4.0 | 19 | 51 | |
Season lines from CollegeFootballData, regular season and bowls.
On the roster
| Season | Team | No. | Pos | Class | Ht | Wt |
|---|---|---|---|---|---|---|
| 2022 | Tulsa | 6 | QB | RS | ||
| 2023 | Tulsa | 6 | QB | Fr. | ||
| 2024 | Tulsa | 6 | QB | So. | ||
| 2025 | Sacramento State | 6 | QB | Jr. | ||
| 2026 | Maryland | 6 | QB | Sr. | 6′2″ | 181 |
As each season’s roster listed the player (CollegeFootballData). Classes before the latest listing are counted back from it; “Yr 1” is the year on file where that count can’t place a season he played (a redshirt, transfer or 2020 year); height and weight as last listed.
Per play
| Season | Team | Plays | EPA/play | Pctile | Median | Total | Usage | Adj. pass | Adj. rush |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | Tulsa | 179 | 0.53 | 91st (n=255) | 0.32 | 94.6 | 28% | 0.43 | 0.37 |
| 2024 | Tulsa | – | 0.00 | – | – | 0.0 | – | – | – |
| 2025 | Sacramento State (FCS) | 268 | 0.31 | 68th (n=314) | 0.24 | 82.6 | 34% | – | – |
| 2026 | Maryland | 18 | 0.36 | – | – | 6.5 | – | – | – |
Expected points added: how much the player’s plays moved the team’s expected score, per play and in total. Plays: total EPA divided by EPA per play, the plays the source credits to him (for a receiver roughly his catches and runs, not every target; for a passer, not every attempt), so it can differ from attempts plus carries. Percentile: against the position’s regulars that season across all divisions on file (quarterbacks with 150+ plays, backs 60+, receivers and tight ends 30+), with how many there were (n) and their median; a dash means too few plays to rank. A season in progress uses the full-season bar scaled by games played, never below 75 plays for quarterbacks, 30 for backs and 20 for receivers. The cohort grows or shrinks with the source’s coverage each season (2025 lists far more players), so compare percentiles rather than raw EPA across years. FCS seasons are marked. Usage: the share of the team’s plays the player was part of (shown from 20 plays). Adjusted pass and rush: EPA per play adjusted for the defenses faced (CollegeFootballData’s WEPA). From CollegeFootballData, 2013 on.
Game by game
2026 Maryland 3 games, 63 passing yards, 1 TD
2025 Sacramento State 12 games, 1,621 passing yards, 10 TD
| Date | Opponent | Result | Cmp | Att | Yds | TD | Int | Rush |
|---|---|---|---|---|---|---|---|---|
| Aug 30 | at | L 3–20 | – | – | – | – | – | −3 |
| Sep 6 | at | L 17–20 | 11 | 13 | 158 | 1 | 1 | 32 |
| Sep 13 | vs. | W 49–28 | 8 | 17 | 176 | 2 | 0 | 52 |
| Sep 20 | vs. | W 45–16 | 15 | 20 | 252 | 1 | 0 | 61 |
| Sep 27 | vs. | L 24–32 | 10 | 24 | 164 | 1 | 3 | 13 |
| Oct 11 | at | W 55–27 | 5 | 9 | 53 | 0 | 0 | 139 |
| Oct 18 | vs. | W 40–35 | 8 | 16 | 90 | 1 | 0 | −7 |
| Oct 24 | vs. | L 35–49 | 25 | 32 | 332 | 1 | 1 | 7 |
| Nov 1 | at | W 35–13 | 3 | 6 | 15 | 0 | 1 | 13 |
| Nov 8 | at | W 52–24 | 8 | 11 | 188 | 2 | 0 | 11 |
| Nov 15 | vs. | W 23–20 | 14 | 18 | 176 | 1 | 0 | 10 |
| Nov 22 | at | L 27–31 | 3 | 9 | 17 | 0 | 1 | 54 |
2024 Tulsa 6 games, 37 passing yards
| Date | Opponent | Result | Cmp | Att | Yds | TD | Int | Rush |
|---|---|---|---|---|---|---|---|---|
| Aug 29 | vs. | W 62–28 | – | – | – | – | – | 35 |
| Sep 7 | at | L 24–28 | 0 | 1 | 0 | 0 | 0 | 5 |
| Sep 14 | vs. | L 10–45 | 1 | 1 | 0 | 0 | 0 | 1 |
| Sep 28 | at | L 20–52 | 3 | 8 | 32 | 0 | 0 | 21 |
| Oct 5 | vs. | L 7–49 | 1 | 1 | 5 | 0 | 0 | 6 |
| Oct 19 | at | L 10–20 | – | – | – | – | – | −3 |
2023 Tulsa 9 games, 1,149 passing yards, 10 TD
| Date | Opponent | Result | Cmp | Att | Yds | TD | Int | Rush |
|---|---|---|---|---|---|---|---|---|
| Aug 31 | vs. | W 42–7 | 13 | 14 | 233 | 3 | 0 | −9 |
| Sep 9 | at | L 10–43 | 6 | 14 | 65 | 0 | 1 | 0 |
| Sep 16 | vs. | L 17–66 | 11 | 17 | 196 | 2 | 2 | −15 |
| Sep 23 | at | W 22–14 | 8 | 20 | 102 | 0 | 2 | −6 |
| Sep 28 | vs. | W 48–26 | 14 | 17 | 244 | 3 | 0 | 90 |
| Oct 7 | at | L 17–20 | 10 | 20 | 115 | 0 | 2 | 50 |
| Oct 19 | vs. | L 10–42 | 7 | 14 | 101 | 1 | 0 | 13 |
| Oct 28 | at | L 10–69 | 4 | 5 | 32 | 1 | 0 | 26 |
| Nov 4 | vs. | L 26–33 | 6 | 11 | 61 | 0 | 0 | 51 |
Box scores from CollegeFootballData, 2004 on. ✦ postseason; ★ a career high on file.
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